Abstract

This paper presents a new adaptation of Zadoff-Chu sequences for the purpose of range estimation and movement tracking. The proposed method uses Zadoff-Chu sequences utilizing a wideband ultrasonic signal to estimate the range between two devices with very high accuracy and high update rate. This range estimation method is based on time of flight (TOF) estimation using cyclic cross correlation. The system was experimentally evaluated under different noise levels and multi-user interference scenarios. For a single user, the results show less than 7 mm error for 90% of range estimates in a typical indoor environment. Under the interference from three other users, the 90% error was less than 25 mm. The system provides high estimation update rate allowing accurate tracking of objects moving with high speed.

Highlights

  • Estimating the range between two devices with high accuracy is a very important tool in many modern technologies

  • Ultrasonic ranging is of low cost and has high accuracy due to the low speed of ultrasonic signal which enables us to estimate range with high accuracy based on time of flight (TOF)

  • The results show high ranging accuracy in most cases with 75% error less than 5 mm and 9.5 mm for 20 dB and -20 dB respectively

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Summary

Introduction

Estimating the range between two devices with high accuracy is a very important tool in many modern technologies. Huang in [10] presented an algorithm for high resolution phase-shift-based range estimation using a narrowband multiple frequency continous wave (MFCW) ultrasonic signal. In [11], Hong H. proposed a low-cost dynamic range estimation device based on phase shift detection using a narrowband amplitude modulated ultrasonic signal. In [12], Hazas M. developed a TOF based range estimation system utilizing wideband spectrum with direct sequence spread spectrum (DSSS) modulation to improve ranging accuracy in noisy environments. This paper proposes a TOF-based range estimation system of high accuracy by utilizing Zadoff-Chu sequences. These sequences are widely used in Long Term Evolution (LTE) air interface in the Primary Synchronization Signal (PSS). Compared to the previous work on range estimation, the proposed method contributes to the following:

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